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Objective:To understand the influencing factors of death of epidemic Japanese encephalitis (EJE) cases in Longnan City of Gansu Province.Methods:In the EJE Monitoring Information Report Management System of the Chinese Disease Prevention and Control Information System, data on EJE cases with onset from 2014 to 2018 and current address in Longnan City were derived. An "Individual Questionnaire of Epidemic Japanese Encephalitis in Longnan City" was designed, retrospective study was conducted on enrolled cases, their information on demographic data, consultation, onset, clinical classification, and chronic underlying diseases were collected, characteristics of EJE cases and death-related factors were analyzed.Results:From 2014 to 2018, a total of 260 EJE cases were reported in Longnan City, and 259 cases completed the questionnaire. Among them, 70 cases (27.0%) were aged ≥60 years old, 67 cases (25.9%) were severe and extremely severe, and 55 cases (21.2%) had chronic underlying diseases. Among 259 EJE cases, 46 cases died, with a fatality rate of 17.8%. After multivariate unconditional logistic regression analysis, age ≥60 years old [odds ratio ( OR)=2.667, 95% confidence interval ( CI): 1.140-6.237], severe and extremely severe ( OR = 2.762, 61.820, 95% CI: 1.053-7.091, 5.149-742.239), and chronic underlying diseases ( OR = 2.489, 95% CI: 1.038-5.964) were risk factors for death in EJE cases. Conclusions:The influencing factors of death of EJE cases in Longnan City are age, clinical classification and chronic underlying diseases. Therefore, we should focus on patients over 60 years old, clinically classified as severe or extremely severe, and suffering from chronic underlying diseases, and strengthen the immunization of EJE vaccine for key populations.
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IntroductionSince December 2019, a novel coronavirus (SARS-CoV-2) has triggered a world-wide pandemic with an enormous medical, societal, and economic toll. Thus, our aim was to gather all available information regarding comorbidities, clinical signs and symptoms, outcomes, laboratory findings, imaging features, and treatments in patients with coronavirus disease 2019 (COVID-19). MethodsEMBASE, PubMed/ Medline, Scopus, and Web of Science were searched for studies published in any language between December 1st, 2019 and March 28th. Original studies were included if the exposure of interest was an infection with SARS-CoV-2 or confirmed COVID-19. The primary outcome was the risk ratio of comorbidities, clinical signs and symptoms, imaging features, treatments, outcomes, and complications associated with COVID-19 morbidity and mortality. We performed random-effects pairwise meta-analyses for proportions and relative risks, I2, Tau2, and Cochrane Q, sensitivity analyses, and assessed publication bias. Results148 met the inclusion criteria for the systematic review and meta-analysis with 12149 patients (5739 female) and a median age was 47.0 [35.0-64.6]. 617 patients died from COVID-19 and its complication, while 297 patients were reported as asymptomatic. Older age (SMD: 1.25 [0.78-1.72]; p < 0.001), being male (RR = 1.32 [1.13-1.54], p = 0.005) and pre-existing comorbidity (RR = 1.69 [1.48-1.94]; p < 0.001) were identified as risk factors of in-hospital mortality. The heterogeneity between studies varied substantially (I2; range: 1.5-98.2%). Publication bias was only found in eight studies (Eggers test: p < 0.05). ConclusionsOur meta-analyses revealed important risk factors that are associated with severity and mortality of COVID-19.
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BACKGROUND: Temporal changes of pain perception to prolonged tonic heat pain are conventionally assessed using a computerized visual analog scale. Such a rating-based approach is, however, prone to floor and ceiling effects, which limit the assessment of temporal changes in perception. Thus, alternative methods that overcome these shortcomings are warranted. NEW METHOD: The aim of this study was to assess the feasibility and reliability of a psychophysical approach, i.e., participant-controlled temperature (PCT), to evaluate ongoing human perception of tonic heat pain. Fifty participants were presented with a 45 °C stimulus on the non-dominant hand, and were instructed to maintain their initial sensation for two minutes via a feedback controller in the dominant hand. A subset of participants (n = 17) performed PCT tonic heat protocols on two different days to determine the test-retest reliability. As participants controlled temperature to maintain a stable pain perception, any adjustments made reflected shifts in their perception of heat. RESULTS: In 33 (71.7%) participants, we observed an initial adaptation (participant increased temperature) followed by temporal summation of pain (participant decreased temperature). Twelve participants (26.1%) showed only adaptation and one (2.2%) only temporal summation. No sex differences were observed, nor did the initial rating of pain have an effect on PCT outcomes. Temporal summation of pain showed moderate to substantial reliability upon retest. CONCLUSIONS: PCT represents can be reliably performed using a contact heat stimulator to measure the temporal summation of pain. The standardized setup and overall good reliability of the outcome measures facilitate a sound implementation into the clinical work-up of patients with pain conditions.
